Improved Method for Gas-Turbine Off-Design Performance Adaptation Based on Field Data

摘要

In this paper, we presented an improved method for gas-turbine off-design performance adaptation that overcomes the negative influence caused by the zonal distribution effect in field data. The similarity between the predicted performance curves and perform-ance regression curves of each component was used as a criterion to evaluate adaptation accuracy. In addition, in the process of off-design performance adaptation, the performance parameters of the design point were recalibrated. The improved method was applied to a double-spool gas turbine, and accuracy adaptation results were achieved both based on rig test data and field data. Based on the method verification using rig test data, the following conclu-sions were drawn:(1) The optimal correction coefficients for modifying the components' characteristic maps can be searched by maxi-mizing the similarity between the predicted performance curves and the performance regression curves of each com-ponent. By doing so, the inaccuracy and instability in the adaptation results caused by the zonal distribution effect in the field data can be avoided.